The World Health Organization Adult Attention-Deficit/Hyperactivity Disorder Self-Report Screening Scale for DSM-5

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Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead (2018, methodology): “RiskSLIM was useful for helping him with this task [48].”
Please Stop Explaining Black Box Models for High Stakes Decisions (2018, methodology): “RiskSLIM was useful for helping him with this task [Ustun et al., 2017].”
Learning Optimized Risk Scores (2016, methodology): “…in domains such as: • Medicine: to assess the risk of mortality in intensive care (e.g., Moreno et al., 2005), critical physical conditions (e.g., adverse cardiac events, Six et al., 2008; Than et al., 2014) and mental illnesses (e.g., adult ADHD in Kessler et al. 2005; Ustun et al. 2017).”
Optimized Scoring Systems: Toward Trust in Machine Learning for Healthcare and Criminal Justice (2018, methodology): “In a separate project using RiskSLIM, we created a screening scale for adult ADHD (attention deficit hyperactivity disorder) in collaboration with a team of psychiatrists (51).”
Optimized Risk Scores (2017, methodology): “In addition to the seizure prediction application in Section 5, RiskSLIM has also been used to create a screening tool to diagnose adult ADHD [31].”